Animal Metacognition: A Tale of Two Comparative Psychologies — TEI-tagged view

Smith, Couchman, Beran · 2014 · psychology · doi:10.1037/a0033105 · full text at the source · TEI xml · tagged edition · index · concepts · authors
Where this record's text came from. faceted 2026-08 by reading the locally held text (xml); every evidence string verified as an exact substring of that text before merging. method is 'review' but understated: the authors also re-implemented and re-ran a criticised computational model ('We programmed Le Pelley’s model to answer this question.'), so there is a simulation component the single-valued facet cannot hold. Replication status is 'contested' rather than 'untested' because the paper itself frames the central interpretation as an open dispute ('The theoretical dispute is the UR’s psychological interpretation.') with associative modellers on the other side. Much of the empirical evidence is the authors' own prior work (Smith et al. 2006, 2008, in press; Beran et al. 2009), which the facets cannot flag. 2026-08-12 and 2026-08-25 schema-0.3 passes: every quote verified as an exact substring of the staged text and anchored at merge time; concept terms verified present; every edge endpoint an existing node.
This record’s own method is review, and the tags below follow from that. A review’s findings, quantities and statistics are things stated IN this paper, and some of them report results obtained elsewhere. No tag on this page names a different author. Measured across every review in this corpus, 81% of a review’s tags carry no citation at all — most of them are the review speaking. The corpus does not adjudicate the rest: read an unmarked tag as a claim this paper makes, not necessarily one it made first.
Tags on this paper every tag the record carries, whether or not the words occur in the text below — a number is how many papers in the corpus carry that tag; a tag with no number is unique to this paper
metacognition4 uncertainty response associative3 uncertainty monitoring Morgan2 trace strength Delayed-Matching-to-Sample reinforcement4 registers executive declarative3 self-awareness operational definition2 phylogenetic comparative psychology macaques chimpanzees2 review319

Our tag layer for this paper

Cross-disciplinary analysis
content-tags & facets: phenomenon · claim-type · cross-domain-transfer · mechanism · claim-relation · replication-status · limitation — grounded in the full text
phenomenonanimal metacognition (uncertainty monitoring)— “A growing literature considers whether animals have capacities that are akin to human metacognition (i. e., humans’ capacity to monitor their states of uncertainty and knowing).”
claim-typecritique— “The associative descriptions in the animal-metacognition literature fail to encompass important phenomena.”
method — evidence— “The present article summarizes the empirical and theoretical situation regarding these associative models and descriptions of animal-metacognition phenomena.”
object of study — evidence— “The authors summarize the empirical and theoretical situation regarding these associative descriptions.”
mechanismWhen deferred feedback camouflages the task's reinforcement structure, the animal builds its own subjective decisional framework and responds uncertain to whatever is near its own subjective breakpoint, not the task's objective one— “Absent access to the task’s associative structure, the animal constructed his own subjective decisional framework based on subjective difficulty, or uncertainty, or even metacognition.”mechanisms[0]
mechanismUncertainty responses draw on executive attention and working memory, which is why occupying those resources with a concurrent task selectively degrades them while leaving stimulus-driven perceptual classification intact— “This dissociation suggests that the uncertainty response is a higher-level, decisional response that is particularly dependent on working memory and attentional resources.”mechanisms[1]
mechanismIn Hampton's task no memory-relevant stimulus is present at choice time, so the animal must itself initiate and restrict a search of memory for a strong trace — an operation with no associative cue to react to— “What the animal must do is use those response icons to cue a memory search for a hot or recent trace.”mechanisms[2]
mechanismCasting every performance as a register of activation strengths updated by reinforcement artificially equates psychologically different performances, which is what empties the label 'associative' of content— “Indeed, forcing all performances onto this structure artificially equates them—really, this is what you want to do and what you have to do if you want to label them all associative.”mechanisms[3]
mechanismThe uncertainty response is designed to carry no reward of its own, so choosing it cannot be explained by direct reinforcement of that response— “It would never bring any direct reward or other consequence.”mechanisms[4]
mechanismIn the memory task the response icons carry no trace-strength information, so there is nothing on the screen for an association to attach to - the animal must initiate its own search— “In this case, there are no memory-relevant stimuli on the scene. There is nothing to cue the animal’s response to some stimulus’s trace hotness.”mechanisms[5]
mechanismThe search must also be restricted to the right memory locations, and nothing in the display can tell the animal how to do that— “And nothing on the response screen can cue the macaque associatively to conduct this search of memory or to restrict that search to the required set of memory locations, or on how to judge when a remembered item has been retrieved or has not been retrieved.”mechanisms[6]
mechanismThe associative models work by mapping every performance onto one abstract register of activations updated by reinforcement, which is precisely what makes them unable to tell performances apart— “Indeed, forcing all performances onto this structure artificially equates them—really, this is what you want to do and what you have to do if you want to label them all associative.”mechanisms[7]
mechanismThe reductio: the same formalism works with a register of fully conscious metacognitive states updated by reinforcement, which shows the formalism settles nothing— “In this way, we could claim mathematically and formally that animals learn associatively through reinforcement to use fully conscious metacognitive states. This claim is useless.”mechanisms[8]
mechanismThe all-or-none framing is itself the error: uncertainty monitoring may exist in graded stages without the whole human package— “It can acknowledge that a capacity like metacognition may not be all or none, and that animals might have a basic uncertainty-monitoring system without having bought all the apps of human metacognition, like consciousness, self-awareness, and even self-loathing from cognitive failure and indecision.”mechanisms[9]
contradicts Le Pelley (2012), associative-learning model of animal metacognition— “This poor fit by itself sharply undermines the descriptive value of Le Pelley’s associative-learning model in this case.”claim_relations[0]
contradicts Jozefowiez et al. (2009a)— “For the same reason, Jozefowiez et al. (2009a) are incorrect when they claim that the underlying processes are exactly the same whether a triggering stimulus is on the screen or the animal must initiate its own targeted search for active memory traces.”claim_relations[1]
builds-on Hampton (2001), macaque metamemory studies— “The results in Smith et al. (in press) also offer a new perspective on Hampton’s (2001) metamemory studies.”claim_relations[2]
critiques associative models of animal uncertainty responses (Jozefowiez et al., Le Pelley, Staddon et al.)— “For the same reason, Jozefowiez et al. (2009a) are incorrect when they claim that the underlying processes are exactly the same whether a triggering stimulus is on the screen or the animal must initiate its own targeted search for active memory traces.”claim_relations[3]
critiques strict application of Morgan's canon in comparative psychology— “Those models reflect an ultimately strict adherence to Morgan’s (1906) Canon, which even Morgan did not intend and which many comparative-cognition researchers do not accept now.”claim_relations[4]
supports Hampton (2001) and the memory-monitoring evidence for macaque metacognition— “Therefore, viewed from all these perspectives, the performances observed in Hampton (2001) cannot properly be considered to be based on associative learning, and overlooking this point is a significant error.”claim_relations[5]
supports Metcalfe's operational benchmark of stimulus absence— “Moreover, Metcalfe (2008) made stimulus absence in metacognitive tasks a crucial benchmark in her operational definition of animal metacognition.”claim_relations[6]
senseassociative - the specific sense: responding cued by a present stimulus or trained by reinforcement contingencies— “That is, those performances might have low-level and non-metacognitive bases if animals’ uncertainty responses were really cued by stimuli or conditioned/trained by reinforcement contingencies.”senses[0]
senseassociative - the stretched sense: anything expressible as a register of activations updated by reward, which covers everything and therefore distinguishes nothing— “Unfortunately, then the associative label becomes meaningless, because one can no longer make distinctions among performances that may be highly distinctive theoretically and psychologically.”senses[1]
sensethe task - with trace-relevant stimuli present (matching-to-sample): an associative account applies— “In these tasks, there are stimuli on the scene at the moment of behavioral choice that are memory or trace-strength relevant.”senses[2]
sensethe task - with memory-neutral response icons (Hampton): nothing is present to be associated with, so the same account does not carry over— “However, Hampton’s methodology is strikingly different. His macaques, after observing the sample and waiting through the retention interval, are presented with two abstract response icons that have no trace-strength relevance.”senses[3]
sensemetacognition - as all-or-none: the Yes/No framing the paper says the dichotomy itself may be wrong for the field's goal— “Even in Le Pelley’s (2012) title—Metacognitive Monkeys or Associative Animals…—he seems to recommend a Yes or No answer to the question of animal metacognition, when that dichotomy could be wrong for the field’s theoretical goal.”senses[4]
sensemetacognition - as graded: a basic uncertainty-monitoring system without consciousness or self-awareness attached— “It can acknowledge that a capacity like metacognition may not be all or none, and that animals might have a basic uncertainty-monitoring system without having bought all the apps of human metacognition, like consciousness, self-awareness, and even self-loathing from cognitive failure and indecision.”senses[5]
controlthe Sparse-Uncertain-Dense task interleaved with a Sparse-Middle-Dense task for the capuchin monkeys — held — rules out the monkeys learning a fixed response to the uncertain condition - interleaving a task where the middle option is not uncertainty keeps the two from being solved as one— “The Sparse-Uncertain-Dense task for capuchin monkeys was interleaved with a Sparse-Middle-Dense task.”controls[0]
differs inJozefowiez et al. (2009a) — whether the trigger is present or must be found: JOZEFOWIEZ ET AL. ARE INCORRECT WHEN THEY CLAIM THAT THE UNDERLYING PROCESSES ARE EXACTLY THE SAME WHETHER A TRIGGERING STIMULUS IS ON THE SCREEN OR THE ANIMAL MUST INITIATE ITS OWN TARGETED SEARCH FOR ACTIVE MEMORY TRACES— “For the same reason, Jozefowiez et al. (2009a) are incorrect when they claim that the underlying processes are exactly the same whether a triggering stimulus is on the screen or the animal must initiate its own targeted search for active memory traces.”claim_relations[1]
differs inassociative models of animal uncertainty responses (Jozefowiez et al., Le Pelley, Staddon et al.) — the same parameter as item 1 - a triggering stimulus ON THE SCREEN against the animal having to INITIATE ITS OWN TARGETED SEARCH FOR ACTIVE MEMORY TRACES— “For the same reason, Jozefowiez et al. (2009a) are incorrect when they claim that the underlying processes are exactly the same whether a triggering stimulus is on the screen or the animal must initiate its own targeted search for active memory traces.”claim_relations[3]
differs instrict application of Morgan's canon in comparative psychology — how strictly the canon is applied: THOSE MODELS REFLECT AN ULTIMATELY STRICT ADHERENCE TO MORGAN'S (1906) CANON, WHICH EVEN MORGAN DID NOT INTEND AND WHICH MANY COMPARATIVE-COGNITION RESEARCHERS DO NOT ACCEPT NOW— “Those models reflect an ultimately strict adherence to Morgan’s (1906) Canon, which even Morgan did not intend and which many comparative-cognition researchers do not accept now.”claim_relations[4]
audituncertainty response —operationalised-as→ uncertainty monitoring — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but the uncertainty response is shown to be more than a middle category, with monitoring mediated by a distinct network; operationalised-as is loose.concept_edges[0]
auditexecutive —causes→ uncertainty response — Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span says UR processes are executive; causes is loose.concept_edges[4]
weightexecutive —causes→ uncertainty response — 0.9concept_edges[4]
auditmetacognition —part-of→ declarative — Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span links metacognition to the declarative system; part-of is loose.concept_edges[7]
weightmetacognition —part-of→ declarative — 0.9
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concept_edges[7]
edgeself-awareness —distinct-from→ uncertainty monitoring
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concept_edges[8]
edgereinforcement —causes→ registers
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concept_edges[9]
auditphylogenetic —causes→ metacognition — Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span says phylogeny probably gave metacognition in stages; causes states a probability.
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concept_edges[10]
weightphylogenetic —causes→ metacognition — 0.8
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concept_edges[10]
outcome (stated by the tagger, no quotation)control — heldcontrols[0]
for which uselimitation — the critique of the newest models: THERE HAS NOT BEEN TIME TO ADDRESS IT YET
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limitations[0]
for which uselimitation — the positive interpretation: ONE NEED NOT ATTRIBUTE FULL, CONSCIOUS, SELF-IMBUED METACOGNITION TO MACAQUES EVEN IF ONE ADOPTS THIS INFORMATION-SEEKING HYPOTHESIS
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limitations[1]
for which uselimitation — the verdict on that model: IT IS PRESENTLY DIFFICULT TO JUDGE THE MODEL'S PRAGMATIC SUCCESS
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limitations[2]
for which uselimitation — the nature of the whole dispute: THESE EMPIRICAL RESULTS ARE NOT DISPUTED - the disagreement is interpretive, so there is no discrepant measurement to find
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limitations[3]
for which uselimitation — any transfer of the human evidence for conscious uncertainty: MACAQUES HAVE ALSO SHOWN THIS PATTERN REPEATEDLY, THOUGH THEY REPORT NOTHING
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limitations[4]
for which uselimitation — the paper's own conclusion, read exactly: higher-level, cognitive, deliberate and decisional are asserted; POSSIBLY METACOGNITIVE AND CONSCIOUS is hedged
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limitations[5]
for which uselimitation — the standing of the opposing programme: describing the performances in low-level associative terms is AN IMPORTANT GOAL IF ACHIEVABLE
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limitations[6]
replicationcontested
limitationThe authors concede that not all of the models they criticise have had a fair opportunity to address the newest phenomenon.
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limitations[0]
limitationThey hedge their own positive interpretation: information-seeking need not imply full conscious metacognition.
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limitations[1]
limitationThey acknowledge they cannot presently settle whether one criticised model succeeds in practice.
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limitations[2]
limitationThe empirical results themselves are not in dispute - the whole disagreement is over interpretation
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limitations[3]
limitationThe animals report nothing, so the human evidence for conscious uncertainty has no counterpart in the animal case
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limitations[4]
limitationThe paper's own positive claim is hedged to possibly-metacognitive rather than metacognitive
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limitations[5]
limitationThe critique is of a specific class of models, which the authors accept would be a legitimate goal if it could be made to work
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limitations[6]
Content tags
content-observations: finding · quantity · variable · definition · key-term — grounded in the full text
findingLe Pelley's associative-learning model never produces anything like the uncertainty-response pattern the macaques showed.
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content_tags.findings[0]
findingAt its best fit the associative model mispredicts each of 120 data points by .10 on average.
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content_tags.findings[1]
findingA non-associative uncertainty model fits the same data more than three times more closely, with an AAD of .03.
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content_tags.findings[2]
findingThe better-fitting cognitive model is also the more parsimonious one, using 3 free parameters against the associative model's 5.
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content_tags.findings[3]
findingThe associative model fits best only by giving up the crucial result: the macaque's asymmetric centering of uncertainty responses at Level 14.
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content_tags.findings[4]
findingCapuchin monkeys essentially did not use the uncertainty response, even though they received immediate feedback after every trial.
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content_tags.findings[5]
findingA concurrent memory load selectively suppressed macaques' uncertainty responses while leaving their Sparse, Middle and Dense perceptual responses largely intact.
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content_tags.findings[7]
findingPigeons do not express any memory-monitoring capacity.
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content_tags.findings[8]
findingPigeons' uncertainty-response rate stays flat across retention intervals, though they remember less after longer delays.
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content_tags.findings[9]
findingWith the added serial-position parameters, Le Pelley's associative model would have nine free parameters.
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content_tags.findings[10]
findingThe authors hold that Le Pelley's published simulations must be discounted because they misstate a crucial aspect of Hampton's method.
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content_tags.findings[11]
findingWith the delay interval controlled, macaques made far more uncertainty responses on blank trials.
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content_tags.findings[12]
findingMonkeys defended the same criterion of memory strength in two separate studies, a convergence across laboratories, animals and methods.
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content_tags.findings[13]
findingThe authors argue that the associative models reflect a strict adherence to Morgan's Canon that even Morgan did not intend.
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content_tags.findings[14]
findinganimals show uncertainty responses where no cuing stimulus is present, on first trials, and without feedback
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content_tags.findings[15]
findingchimpanzees checked the container before naming only on trials where they had not seen its contents
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content_tags.findings[16]
findingthe empirical pattern is agreed by both sides; only its interpretation is disputed
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content_tags.findings[17]
findinga broad enough associative label can no longer separate performances that differ psychologically
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content_tags.findings[18]
findingthe claim implies any information processing can be lumped under 'associative', which makes the term theoretically useless
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content_tags.findings[19]
quantityr = 0.838 — correlation between the proportion of trials the macaque declined and the distance of the trial level from his own subjective decisional breakpoint
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content_tags.quantities[0]
quantity.10 — best-case average absolute deviation of the associative-learning model per data point
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content_tags.quantities[1]
quantity.03 — average absolute deviation of the non-associative uncertainty model on the same data
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content_tags.quantities[2]
quantityabout .30 — per-data-point error of the associative model when constrained to the UR fulcrum of 14 that the real macaque showed
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content_tags.quantities[3]
quantity5% — error of prediction of the earlier signal-detection associative model between predicted and observed response proportions
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content_tags.quantities[4]
quantity7% — average per-stimulus-level misprediction of the uncertainty response by that associative model across levels 1-31
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content_tags.quantities[5]
quantity23% ... 97% — macaque Murph's uncertainty-response rate at Level 9 against his accuracy on those same trials, showing URs uncoupled from reinforcement
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content_tags.quantities[6]
quantity19% ... 22% — the same macaque's uncertainty-response rate at Level 20 against his accuracy there, far below chance yet declined less often than the easy level
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content_tags.quantities[7]
quantity14 and 0.12 — the real macaque's position in the simulation space (UR fulcrum, mean UR rate), which the associative model's runs never reach
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content_tags.quantities[8]
quantity90 s from 20s — the penalty timeout increase used to raise associative pressure on capuchins to adopt the uncertainty response
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content_tags.quantities[9]
quantityfive of six — capuchin monkeys who still failed to use the uncertainty response adaptively even after the timeout was quadrupled
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content_tags.quantities[10]
quantity10% — the constant error rate macaques maintained as memory lists lengthened, by declining more tests
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content_tags.quantities[11]
quantityone of five — capuchins who searched before reaching more often on unseen-hiding trials in the food-concealment paradigm
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content_tags.quantities[12]
quantity41-step continuum — the density scale along which stimuli are classified sparse or dense
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content_tags.quantities[13]
quantityLevel 21 — the exact breakpoint, never presented, around which the uncertainty response should cluster
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content_tags.quantities[14]
variableconcurrent working-memory load (independent)
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content_tags.variables[1]
variablepenalty timeout (independent)
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content_tags.variables[2]
variableretention interval (control)
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content_tags.variables[3]
definitionmetacognition
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content_tags.definitions[0]
definition“Middle” response
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content_tags.definitions[2]
definitionAverage Absolute Deviation (AAD)
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content_tags.definitions[3]
definitionfulcrum point of URs
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content_tags.definitions[4]
definitionsubjective difficulty
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.definitions[5]
definitionuncertainty response
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.definitions[6]
definitionDelayed-Matching-to-Sample
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.definitions[7]
key-termsmetacognition, uncertainty response, associative, uncertainty monitoring, trace strength, Delayed-Matching-to-Sample, reinforcement, registers, executive, declarative, self-awareness, operational definition, phylogenetic, comparative psychology
Concepts
terms this paper carries, each with the sentence it was cut from — the layer that joins one paper to another. Terms with no quote yet are on CONCEPTS.html.
conceptmetacognition — not defined in this paper's own words; the capacity to monitor and control one's own cognitive processes
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[0]
Statistics — cross-field join keys
field-invariant statistical terms, used in their statistical sense (gated on a number / symbol / test). A p-value or a standard deviation means the SAME thing in physics, biology, psychology and sociology — so these are the strongest cross-field join keys. Grounded verbatim.
correlation r as written: a strong relationship ... ( r = 0.838)
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[0]
goodness-of-fit measure AAD as written: Average Absolute Deviation (AAD)
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[1]
model fitting as written: We also fit these runs of the model
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[2]
signal detection theory model as written: an associative model based in signal-detection theory
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[3]
error of prediction as written: The error of prediction between predicted and observed response proportions
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[4]

When we have changed our mind. Some entries in the table begin with a word in capitals and the reason for it. EVIDENCE CORRECTED — the finding still stands, but we had quoted the wrong sentence from the paper, and the quotation has been replaced with the right one. RETRACTED — the entry itself was wrong; it stays on the page, marked, with the reason, rather than being deleted. WITHDRAWN AND REPLACED — the entry was wrong, and a corrected version of it appears in the entries below. Each mark carries its own reason, in brackets, because the reasons differ from one entry to the next. An entry we have WITHDRAWN is removed from this page and kept in the record, with its reason. A line reading Audit and a date is a later re-reading of the entry against its whole sentence: DOUBTFUL means it was kept, and the reason says what is loose about it. Quotation marks inside the tagger's sentence. Where a tag is the tagger's own sentence, a phrase in quotation marks inside it is borrowed from the paper — the tagger's wording around it is not. The paper's own sentence is the evidence quote for that row; on this page it is withheld with the article, and the article is at its publisher. Nothing inside quotation marks anywhere on this page is ours: if it is quoted, it is the paper's. Whose words a concept carries. A concept entry records a term the paper itself uses, so the term, the sense given for it, and its evidence are the paper's own words, quoted where the paper fixes them. This is the opposite of a sense entry in the tag table, which is the tagger's sentence about how the paper uses a term. Where a concept entry could not be grounded in the paper's words, the entry says so on its own row.

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